caChiTest: correspondence analysis tests without resampling.
caChiTest performs 3 sets of chi-square tests along the lines of Lebart's v-tests. These tests are designed to be conservative estimates of chi-square tests on contingency data. The tests treat this data in a standard chi-square framework, but are helpful to understand correspondence analysis data when permutation and bootstrap become unfeasible.
caChiTest(DATA, res, critical.value = 2)
Data as would be entered for Correspondence Analysis (see
Results from correspondence analysis (e.g., output from
numeric. A value, analogous to a z- or t-score to be used to determine significance (via bootstrap ratio).
a list with the following values:
boolean matrix. Identifies which column items are significant (based on
chi-square values associated to column items, multiplied by the sign of their component scores ($fj).
p values associated to column items in a chi-square test.
boolean matrix. Identifies which row items are significant (based on
chi-square values associated to row items, multiplied by the sign of their component scores ($fi).
p values associated to row items in a chi-square test.
chi-square value associated to the table.
p value associated to a chi-square tests of the table.